Senior NCX Engineer

Job Summary

Collaborating with strategic customers, the full-time Senior NCX Engineer will deliver hands-on technical assistance for advanced AI deployments and distributed systems while working remotely or onsite in various US locations.

Key responsibilities

• Build and deploy custom AI solutions on NCP and Neo Cloud platforms, including distributed training and inference optimization
• Act as the main technical contact for strategic NCPs, providing remote and on-site support while troubleshooting complex production issues
• Deploy and manage AI workloads across various environments using Kubernetes, containers, and GPU scheduling systems

Required qualifications

• BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience
• 8+ years of experience in customer-facing technical roles such as Solutions Engineering, DevOps, or ML Infrastructure Engineering
• Strong expertise in Linux systems, distributed computing, Kubernetes, and GPU scheduling on multi-tenant platforms
• Demonstrated AI/ML experience supporting large-scale training and inference workloads in production environments
• Solid programming skills in Python/Go, with experience using frameworks like PyTorch or TensorFlow